Package: SynDI 0.1.0
SynDI: Synthetic Data Integration
Regression inference for multiple populations by integrating summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations <arxiv:2106.06835>.
Authors:
SynDI_0.1.0.tar.gz
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SynDI_0.1.0.tgz(r-4.4-any)SynDI_0.1.0.tgz(r-4.3-any)
SynDI_0.1.0.tar.gz(r-4.5-noble)SynDI_0.1.0.tar.gz(r-4.4-noble)
SynDI_0.1.0.tgz(r-4.4-emscripten)SynDI_0.1.0.tgz(r-4.3-emscripten)
SynDI.pdf |SynDI.html✨
SynDI/json (API)
# Install 'SynDI' in R: |
install.packages('SynDI', repos = c('https://umich-biostatistics.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/umich-biostatistics/syndi/issues
- create_synthetic_example - Example data for Create.Synthetic
- initial_estimates_example - Example data for Initial.estimates
Last updated 3 years agofrom:3a08bf51ea. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win | NOTE | Nov 18 2024 |
R-4.5-linux | NOTE | Nov 18 2024 |
R-4.4-win | NOTE | Nov 18 2024 |
R-4.4-mac | NOTE | Nov 18 2024 |
R-4.3-win | NOTE | Nov 18 2024 |
R-4.3-mac | NOTE | Nov 18 2024 |
Exports:%>%Create.SyntheticexpitInitial.estimatesResample.gamma.binaryYResample.gamma.continuousY
Dependencies:abindarmbackportsbitbit64bootbroomclicliprcodacodetoolscpp11crayondplyrevaluatefansiforcatsforeachgenericsglmnetgluehavenhighrhmsiteratorsjomoknitrlatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlmvtnormnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6randomForestRcppRcppEigenreadrrlangrpartsandwichshapeStackImputestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithrxfunyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Example data for Create.Synthetic() | create_synthetic_example |
Create the synthetic data | Create.Synthetic |
Expit function | expit |
Example data for Initial.estimates() | initial_estimates_example |
Internal estimation | Initial.estimates |
Resample for bootstrap variance for binary Y | Resample.gamma.binaryY |
Resample for bootstrap variance continuous Y | Resample.gamma.continuousY |